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Haagensen Branch posted an update 17 days ago
rates good model discrimination for 60-day mortality. Slight performance variations are observed across demographic subpopulations. The model was implemented prospectively and successfully produced meaningful estimates of risk within minutes of admission.
Disrespectful and abusive treatment of women by health care providers during the process of childbirth at health facility is an international problem. There is a lack of data on disrespect and abuse of women during the process of childbirth at health facilities in Sub-Saharan Africa. The purpose of this study was to determine the prevalence of disrespect and abuse of women during the process of childbirth at health facilities in sub-Saharan Africa.
The PRISMA guideline protocol was followed to write the systematic review and meta-analysis. Ulonivirine Published studies were searched from Medline, PubMed, CINAHL, EMBASE, Maternal and infant care, science direct, and PsycINFO. Articles were accessed by three reviewers (ZY, BT and AA) using the following key terms, “attitude of health personnel” AND “delivery obstetrics*/nursing” OR “maternity care” AND “disrespect” OR “abuse” OR “professional misconduct” AND “parturition” AND “prevalence” AND “professional-patient relations” AND “Sub-Saharan Africa”. Additional articlecare providers, maternal health experts shall due attention to women’s right during the process of childbirth at health facilities.
In this study disrespect and abuse of women during the process of childbirth at health facilities are high compared with other studies, particularly non-confidential care and abandonment his high compared with other studies. This study points out that the ministry of health, health care providers, maternal health experts shall due attention to women’s right during the process of childbirth at health facilities.
Tibet, a region where average elevation is above 3500 m and socio-economic development is relatively lower, was not included in National Oral Health Survey over decades. The cross-sectional study aimed to investigate the status of dental caries and associated factors in Tibetan adults.
Participants aged 35-44, 55-64 and 65-74 years were selected. Decayed, missing, and filled tooth (DMFT), decayed and filled root (DF-Root) and root canal index (RCI) were used to evaluate dental caries. Questionnaire survey on demographic information, socioeconomic status, dietary habits, and oral health knowledge and behavior was conducted. Mann-Whitney U test, logistic regression were used for the statistical analyses.
A total of 446 participants were enrolled in the survey. Of these 222 (49.8%) were females, 224 (50.2%) were males; 149 (33.4%), 151 (33.9%), 146 (32.7%) were aged 35-44, 55-64 and 65-74 years respectively. The mean DMFT (SD) was 7.62 (4.84), 12.46 (8.16), and 21.38 (8.93). The filling rate was very low isurfaces. These findings could be as reference to develop community based interventions to reduce the prevalence of caries in Tibet.
The status of dental caries in the adults in Tibet is severe and the treatment rate is very low. The study suggests a correlation between crown caries and the variables age, level of education and frequency of tooth brushing; correlation between root caries and residence, income level, frequency of tooth brushing and exposed root surfaces. These findings could be as reference to develop community based interventions to reduce the prevalence of caries in Tibet.
Acid mist can suspend in the air and enter the body via skin contact, the respiratory tract, or even oral intake, which pose various health hazards. Previous studies have shown that occupational exposure to acid mist or acidic solutions is a major risk factor for oral diseases. However, the findings are inconsistent and do not consider individual factors and lifestyles that may cause the same oral diseases. Therefore, we conducted a comprehensive oral health survey and collected detail information to confirm the effect of acidic solution exposure on worker’s oral health.
From 4 acidic solution factories, a total of 309 subjects (157 in control and 152 in exposed group) was enrolled. All participants competed oral examinations and self-report questionnaire, including the decayed, missing, and filled teeth (DMFT) index, community periodontal index (CPI), loss of attachment (LA) index, and tooth erosion. Multivariate logistic regression analysis was used to determine the association between the acidic solutil hazard control, educate workers on oral disease and related factors, and raise the awareness of oral hygiene.
Fine dust penetrates deep into the human alveoli, and the fine dust accumulated in the bronchus and lungs can directly trigger various respiratory diseases. PM014 (HL301) is the herbal extract derived from the herbal medicine Chung-Sang-Bo-Ha-Tang which is used for the treatment of lung diseases.
To evaluate the effect of PM014 on the lung inflammation induced by fine dust, this study investigated inflammatory responses in the lung upon pm10 exposure by examining the infiltration of inflammatory cell profiles from bronchial alveolar lavage fluid (BALF), lung histology, and production of pro-inflammatory cytokines measured by RT-PCR and ELISA.
PM014-treated mice exhibited reduced lung tissue damage and inflammatory cell infiltration. Bronchoalveolar lavage fluid (BALF) analysis showed significant decrease in the population of total cells, macrophages, eosinophils, and neutrophils in PM014-treated mice. PM014 treatment downregulated the pro-inflammatory cytokine expressions including IL-1b, IL-8, IL-6, TNF-alpha, IL-21 and IL-17. ELISA analysis also showed reduced production of IL-1b, IL-6 and IL-17 in PM014-treated mice.
PM014 suppressed the pm10-induced inflammatory response in mice. This study shows that PM014 is a possible therapeutic agent for lung inflammation induced by fine dust.
PM014 suppressed the pm10-induced inflammatory response in mice. This study shows that PM014 is a possible therapeutic agent for lung inflammation induced by fine dust.
The onset of silent diseases such as type 2 diabetes is often registered through self-report in large prospective cohorts. Self-reported outcomes are cost-effective; however, they are subject to error. Diagnosis of silent events may also occur through the use of imperfect laboratory-based diagnostic tests. In this paper, we describe an approach for variable selection in high dimensional datasets for settings in which the outcome is observed with error.
We adapt the spike and slab Bayesian Variable Selection approach in the context of error-prone, self-reported outcomes. The performance of the proposed approach is studied through simulation studies. An illustrative application is included using data from the Women’s Health Initiative SNP Health Association Resource, which includes extensive genotypic (>900,000 SNPs) and phenotypic data on 9,873 African American and Hispanic American women.
Simulation studies show improved sensitivity of our proposed method when compared to a naive approach that ignores error in the self-reported outcomes.